M&A Data Analytics Senior Consultant

Work you'll do

• Gathering, normalizing, validating, and analyzing transactional data, including sales and inventory data, to develop and test deal hypotheses
• Working with cross-functional teams across financial, accounting, operational, and tax due diligence to manage data analysis and support transaction execution
• Using business intelligence tools and data analytics to generate meaningful insights tied to client investment hypotheses and transaction decisions
• Identifying opportunities to design and develop visualizations and dashboards that enable effective and repeatable analysis of large transactional datasets
• Advising clients directly, including C-suite and private equity executives, while coordinating with FP&A and Strategic Finance personnel to identify, collect, and validate data from client databases

Team

The team offers comprehensive end-to-end support and advisory services, covering areas such as mergers and acquisitions (M&A), valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, and sustainability. The team works closely with clients at every stage of their journey, helping them navigate challenges, avoid financial pitfalls, and implement practical solutions before, during, and after major transformational projects or transactions creating lasting impact.

Qualifications

• Required:
• Bachelor’s Degree in Accounting, Finance, Management Information Systems, Mathematics, Statistics, Economics or similar
• 2-4 years of experience analyzing large datasets, including demonstrated understanding of data manipulation tools
• Demonstrated knowledge of advanced business analytics and data mining solutions
• Demonstrated understanding of multiple business cycles (examples include but not limited to Order-to-cash revenue cycle, procurement, Supply Chain, Inventory, etc.)
• Experience designing and storytelling via data visualization (examples include but not limited to Tableau, Power BI, Excel Charts, etc.)
• Experience analyzing or managing accounting, financial or transactional data
• Demonstrable evidence of effective team leadership, client relationship development, preferably in a client service setting
• Ability to travel up to 20%, on average, based on the work you do and the clients and industries/sectors you serve
• Limited immigration sponsorship may be available

• Preferred:
• Strong working knowledge of data structures and database design
• Knowledge of GAAP, particularly revenue recognition and ASC 606
• Experience performing ETL/data manipulation using Alteryx or similar tools
• Experience designing data visualizations with Tableau, Power BI, or similar tools
• Knowledge of how to use programming languages for data analyses: SQL, Python, R or other languages.
• Statistical methods in support of data analysis
• CPA, CA certification
• Master of Business Administration or similar degree